Conversational Commerce Use Cases

Conversational Commerce Use Cases

Generative AI and chatbot technologies are revolutionizing the way businesses and shoppers communicate and are shaping the future of retail before our eyes.

In this article, we discuss:

  • Use cases for conversational commerce
  • Benefits
  • Real-world examples

Brief Introduction to Conversational Commerce

Before exploring the benefits of conversational commerce, we must understand what it is and it’s importance in Ecommerce.

Defining Conversational Commerce

Conversational Commerce enables online shoppers to communicate with their favorite brands through their platform of choice. By opening a messaging app and starting a conversation with a chatbot, shoppers can easily purchase items, receive immediate customer support, and view recommendations tailored to them.

Conversational commerce meets shoppers wherever they are and provides them with what they need. When done effectively, conversational commerce enhances the user experience, builds brand trust, and increases revenue.

In short, it’s essential to an online business’s success. Statista expects global spending on conversational commerce channels to reach almost 300 billion USD by 2025.

Advantages of Conversational Commerce in Retail

Conversational commerce empowers businesses to foster meaningful connections with customers. Integrating AI-powered chatbots into online platforms enables stores to interact with shoppers in real-time. Thus, shoppers can easily access information and quickly make purchases with confidence.

By implementing conversational commerce, retailers can improve customer satisfaction, build trust, generate more sales, and stand out from competitors.

Enhancing the Customer Experience

By AI, retailers can use conversational commerce to provide an offline shopping journey online by mimicking the retail assistant’s behavior.

Chatbots and Virtual Shopping Assistants

First, let’s review what chatbots and virtual shopping assistants do. Chatbots and virtual shopping assistants offer support designed to mimic human interaction. They leverage NLP to understand user requests and return intuitive responses that go beyond the scope of pre-programmed replies.

Image by storyset on Freepik

By understanding context and subtle language nuances to provide tailored recommendations, virtual shopping assistants act like knowledgeable human salespeople.

They can answer questions, suggest additional products, and provide real-time product information, pricing, and availability instantly.

There are countless ways conversational commerce enhances the online user experience, all of which revolve around real-time interactions that lead to satisfied customers who feel understood and valued. See Toptal’s article for more chatbot UX best practices.

Product Discovery

AI powered chatbots can help shoppers find the products they’re looking for by understanding natural language and context of shopper queries.

They can make relevant recommendations to help shoppers complete their order and can leverage advanced filtering options to guide shoppers through product catalogs.

It discusses improving e-commerce search experiences through chatbot UX best practices.

Personalized Product Recommendations

By analyzing user behavior, preferences, and needs, chatbots can deepen customer understanding beyond Autocomplete searches, and provide personalized replies and tailored recommendations.

Personalized product recommendations help shoppers quickly find what they’re looking to buy, round out their purchases with complementary items, and inspire product discovery in areas of your catalog relevant to them. They make shoppers feel understood and help them navigate the shopping journey conveniently and efficiently.

McKinsey found that over 70% of consumers already expect personalization when visiting an E-commerce store.

Real-time Order Tracking and Support

Chatbots enable shoppers to track orders in real time, which helps retailers build trust by eliminating uncertainty and offering transparency in the shipping process.

Plus, retailers can offer proactive communication via automated updates and notifications about a delivery. This keeps shoppers in the loop every step of the way.

Ensuring chatbots are attentive and engaging helps manage shoppers’ expectations and reduce frustration, which increases customer satisfaction and loyalty.

Instant Customer Feedback Collection

Chatbots give shoppers a voice.

Instant feedback helps online retailers solve problems that may arise during the shopping process. They also help retailers discover pain points, which is insightful data that be used to optimize the chatbots. Ecommerce businesses can leverage feedback to fine-tune product recommendations, improve the user experience, and enhance customer support.

Image by storyset on Freepik

Collecting feedback helps customers feel like their opinion matters, increases engagement through collaboration, and results in a more satisfying shopping experience.

Sales and Marketing Optimization

Conversational commerce is a powerful tool that can be used to optimize sales and marketing efforts.

Let’s explore how.

Chatbot-Powered Sales Funnels

Chatbots are revolutionizing sales funnels. They’re a cost-effective way to generate leads, increase customer engagement, and offer real-time support.

Customer Engagement: Chatbots offer shoppers the ability to quickly navigate the shopping journey by providing personalized recommendations and support. These interactive conversations can guide shoppers through the sales funnel. By addressing users’ individual interests and needs, chatbots keep shoppers engaged and satisfied.

24/7 Support: Chatbots offer real-time support for common queries at any time of day. By providing instant responses, chatbots keep shoppers satisfied while freeing up human support for more complex requests.

Chatbots automate many parts of the sales process and are reshaping the sales landscape as we know it.

Their ability to leverage data and continuously improve helps sales teams promptly and effectively streamline the sales process and drive significant revenue.

Upselling and Cross-selling Strategies

Many shoppers use chatbots to find products they want to purchase. By analyzing user history, purchase behavior, and preferences, chatbots can identify opportunities to cross-sell and upsell.

The most effective way to do this is to offer recommendations that help shoppers discover relevant products. Personalized recommendations that align with what they’re looking for, upgrades, or complementary items that help complete their purchase are proven to increase conversion rate. Additionally, retailers can use chatbots to promote sales, discounts, or items that further support their bottom line.

Product recommendations increase conversion rate, average order value, and revenue. If you’re not using chatbots to upsell and cross-sell, you’re leaving money on the table.

To make sure your strategy is helping achieve your desired results with customer support, we recommend setting and tracking the relevant Ecommerce KPIs.

Interactive Promotions

Interactive promotions alert shoppers to deals, discounts, and promotions that encourage them to buy. They are a lucrative tool for increasing customer engagement, optimizing conversion rate, driving customer loyalty and retention, and helping your brand stand out.

Promoting personalized sales through chatbots or Ecommerce Merchandising is a proactive way to increase customer engagement. Helping shoppers find suitable deals will help you strengthen relationships with customers, create positive user experiences, and build sustainable sales success.

Streamlined Customer Support

Conversational commerce offers real-time communication, which is extremely powerful for customer support. The moment shoppers have a question or concern, they can get the answer they’re looking for, quickly absolve their frustration, and stay satisfied.

Here are a few ways chatbots can improve the customer support process. According to an eMarketer study in 2022, it was found that 53% of the people surveyed in the United States had interacted with an AI chatbot within the previous year.


AI-Driven Chatbot Assistance

Chatbots can be programmed to answer most inquiries immediately. By automating routine answers and offering personalized 24/7 support, online retailers can reduce wait times, and keep shoppers informed.

Answering support questions quickly and accurately helps build trust, increases customer loyalty, and inspires return visits.

Escalation to Human Agents

If automated replies don’t provide the information shoppers want, chatbots can pass them on to human agents. Human agents can streamline the support process by ensuring that more complex inquiries are handled with the proper care and attention.

Offering human support when needed will ensure shoppers get accurate information regarding their requests. Implementing human support in your conversational commerce strategy will resolve queries faster and improve overall customer satisfaction.

Post-Purchase Support and Returns Management

Chatbots and virtual assistants offer a wide range of post-purchase support. They can provide order information like tracking number or delivery status as well as resolve issues that may arise.

Chatbots can help address modifications to an order, concerns with shipping, and help shoppers with returns. Offering instructions, providing return labels, and passing shoppers onto human customer support ease the post-purchase process.

Plus, chatbots can offer post-purchase recommendations too. If a shopper isn’t happy with a purchase, chatbots can provide suggestions for alternative products based on their return.

Multichannel Communication

Conversational commerce increases online retailers reach by enabling customers to engage with them at various touch points through their preferred communication channels.

Offering real-time interactions across many channels helps meet users where they are, facilitates convenient communication, and maximizes potential for customer engagement and sales.

Here are a few common communication channels.

Social Media Messaging Platforms

Over 4.7 billion people use social media, with the average person spending two and a half hours daily on their preferred platform. So, it only makes sense that online retailers incorporate social media into their conversational commerce strategy.

Image by storyset on Freepik

By offering real-time communication via social media, shoppers can engage with their favorite businesses, explore products, request support, and make a purchase- all within their platform of choice.

Social media integration increases online retailers’ reach and promotes seamless interactions with shoppers by making it easy to communicate through their platform of choice.

SMS Integration

Shoppers can communicate with their favorite businesses via SMS (Short Message Service) too. Instead of navigating to an online store’s site, shoppers can quickly message retailers using the native messaging app on their mobile devices.

With a simple text message, users can receive updates on their orders, view promotions or discounts for products they’re interested in, ask for customer support, and more. Implementing SMS into your conversational commerce strategy is an effective way to offer convenient assistance and enhance the overall perception of your brand.

In-App and On-Site Messaging

While it can be easier for shoppers to communicate with online retailers through their preferred apps, it is crucial to offer chatbots and virtual assistants to shoppers on websites and in apps too.

As users navigate your online store, chatbots can analyze shopping behavior and prompt conversations or answer questions at important touchpoints. Chatbots can answer questions about products, offer personalized recommendations, and answer support questions all from the store’s website or app.

In-Store Retail Applications

Most conversational commerce communication is designed to take place virtually, without the need for a physical storefront. However, chatbots and virtual assistants can be used to enhance the in-store shopping experience as well. Take a look.

5 Examples of Successful Conversational Commerce

Successful conversational commerce use cases keep shoppers engaged and informed at key touch points throughout the shopping journey.

Let’s look at how online retailers have successfully implemented conversational commerce in their stores.

1. Dollar Shave Club

Dollar Shave Club’s chatbot is simple. Shoppers receive 24/7 support by selecting a common support topic about order status, products, and sign-up questions, or they can ask a question.

By providing real-time support, Dollar Shave Club ensures customers receive fast answers to their questions. If the chatbot doesn’t have the answer shoppers need, they do a great job passing them on to human support. Take a look.

Keeping shoppers informed and ensuring they receive the exact support they’re looking for improves the shopping experience and creates a positive impression of your brand.

2. Lego

Lego’s chatbots do a great job of building customer trust from the get-go. They start by ensuring users their data is protected, then ask for a first name to personalize the experience. Plus, they ask for an email address in case follow-up is required later.

You’ll notice their chatbot has a name too. These small details go a long way in creating interactions that feel natural, authentic, and tailored to each shopper.

3. HM

One thing H&M’s chatbots do exceptionally well is ask for customer feedback after every interaction.

Asking users if their query was solved, how satisfied they were with the interaction, and how accurately the chatbot understood what they were looking for is the best way to discover what’s working well and where there is room for improvement.

Chatbots rely on generative AI and are designed to get better over time. Directly asking shoppers for feedback can help streamline this process and continuously optimize chatbots for the best possible user experience.

4. Clinique

Clinique is a prime example of how chatbots can work in conjunction with human agents. They offer support on a handful of predetermined topics or immediately connect you to a live agent.

If a shopper is looking for a product, Clinique’s agents ask questions to personalize their recommendation. Look how efficiently and effectively they help shoppers find what they’re looking for.

Plus, they make it easy to add recommended products to shopping carts and keep you engaged by offering relevant discounts and promotions. This shopper-first approach is an effective way to shorten the path to purchase, build customer loyalty, and drive sales.

5. 1-800-FLOWERS

The 1-800-Flowers chatbot does an excellent job guiding users through the shopping journey.

Shoppers can give the intended recipient’s name and address, explore flowers that fit a specific occasion, and quickly navigate the check-out process- all with help from the chatbot.

One of the best parts about this chatbot is that it offers images of relevant flowers and bouquets to help shoppers narrow down their search. This is a convenient way for shoppers to view the different arrangements offered so they can make confident purchase decisions.

The conversational commerce approaches and techniques mentioned above highlight some of what’s possible with chatbots and virtual assistants. However, keep in mind that customers’ needs vary from industry to industry. When implementing a chatbot in your store, you must understand your specific shoppers so you can program your chatbot accordingly.


Conversational Commerce is a game-changer. By leveraging chatbots and virtual assistants, retailers can meet customers where they are and engage with them in real-time. This enhances the user experience, optimizes sales and marketing efforts, and streamlines customer support.

Many online businesses are already using conversational commerce. However, advances in conversational AI are transforming the Ecommerce industry, reshaping what’s possible, and creating new opportunities for retailers.

If you aren’t already implementing conversational commerce into your Ecommerce strategy, the time to start is now.


How can conversational commerce impact my online retail business?

Conversational commerce significantly impacts retail business in many ways. By providing personalized and interactive communication with customers in real-time, retailers can increase engagement and offer a more satisfying shopping experience.

One way to increase engagement is by offering personalized responses and product recommendations on customers’ preferred channels. By showing shoppers they understand them and can meet their needs, retailers can develop stronger relationships and drive more sales.

Additionally, chatbots provide automated customer support, which helps retailers cut costs on overhead (think physical storefronts, staff, etc.). Delivering a seamless multi-channel Ecommerce experience to shoppers can improve customer satisfaction and helps maximize overall business growth.

What are the risks and challenges of implementing conversational commerce?

There are many advantages to conversational commerce, but there are risks and challenges businesses must consider too. It’s important to understand that the lack of human support may hinder the customer journey for certain shoppers. This is largely because chatbots and artificial intelligence algorithms struggle to understand shoppers’ inquiries, which can result in irrelevant or non-useful communication. The best way to prevent this happening is to implement algorithms and machine learning for Ecommerce specifically.

Privacy and security concerns are prominent too. Customers may fear sharing sensitive data like their address or credit card information with a chatbot or virtual assistant. Lastly, the integration process can present problems for Ecommerce sites as well. That said, online businesses can help prevent or mitigate these problems by continuously testing, monitoring, and optimizing their solutions.

How can I ensure my customers have a positive experience with conversational commerce?

The best way to create a positive experience with conversational commerce is by providing clear communication, personalized services, and proactive assistance. Offering convenient, immediate, and relevant answers to shoppers’ inquiries will help build brand trust and a positive impression of your store. It is also important to ask for feedback to continually improve the user experience.

On the technical side, finding conversational chat platforms that integrates seamlessly across all channels will help you maintain a consistent shopping experience. Lastly, make sure to inform shoppers about the security and privacy measures your store takes to protect their data. Each of these steps will help enhance the customer journey with conversational commerce.

For a comprehensive understanding of conversational commerce, check out our other articles on this topic covering its fundamentals, types of platforms and implementation strategies.

Paige TyrrellHead of Marketing – Prefixbox

Paige is the Head of Marketing at Prefixbox, a leading eCommerce site search solution. She’s an American who’s been living in Budapest since 2017 and loves giving #alwayslearning sessions to help people optimize their online stores.

What is Conversational Commerce?

What is Conversational Commerce?

Imagine communicating with your favorite brands anytime without needing to go to a physical store, wait in line, or spend hours on hold.

This is the future of Ecommerce, and it has a name: conversational commerce.

In this article, we discuss:

  • What conversational commerce is
  • Benefits
  • Best practices

The conversational commerce market is set to grow by $290 billion by 2025, which means the time to start developing your strategy is now.

What is Conversational Commerce?

Conversational commerce is a new channel that enables retailers to interact with customers online, most commonly through messaging platforms, chatbots, and virtual assistants.

Instead of navigating to online retailers’ sites, shoppers can interact with businesses on their preferred social channels (think: Facebook Messenger) and get an immediate answer.

With conversational commerce, shoppers can ask questions, view product recommendations, request support, or purchase products with fast and personalized communication.

Users can open a mobile messaging app like WhatsApp or Facebook, ask an online retailer for wireless headphone recommendations, view relevant products, and immediately purchase what they’re looking for without navigating to the online store.

With advances in conversational AI, shoppers’ queries can be accurately understood, making communication more effective and authentic. 

The Evolution of Conversational Commerce

The modern evolution of technology shows that consumers have consistently opted for convenience. When Apple introduced the iPhone in 2007, mobile devices quickly outperformed sales of desktop computers for one simple reason: users could access whatever they needed, when, how, and where they wanted it.

mobile and pc sales worldwide chart

Shortly after the iPhone was introduced, messaging apps like WhatsApp and Facebook Messenger gained popularity, and conversational commerce emerged. Online businesses used Facebook Messenger and other apps to interact with customers via chatbots, which sparked a new era of sales and customer care.

WeChat paved the way too, offering a wide array of Ecommerce services and customer support within their application’s ecosystem. The popular Chinese messaging app made it easy for users to make purchases, book taxis, and pay bills all within the app. WeChat’s success inspired other messaging platforms to develop and offer a multitude of features merging Ecommerce and customer communication.

It didn’t take long for businesses to see the lucrative potential of conversational commerce, with numerous companies exploring new ways to increase sales and the customer support experience. Many initial chatbots and virtual assistants were not intuitive enough to provide the support customers were looking for. However, as technology improved, things changed.

With the introduction of generative AI and advances in Natural Language Processing, chatbots can now understand and respond to complex requests authentically.

Amazon Alexa and Google Assistant are two key examples of success with conversational commerce – both devices help users engage with brands using voice commands and quickly make desired purchases.

Conversational commerce is improving and demand is growing, proving it’s here to stay. With the market set to grow by $290 billion by 2025, Ecommerce chat apps and conversational services will likely become an integral part of our lives before we know it.

Why is Conversational Commerce Important?

Conversational Commerce is a powerful tool that enables online retailers to interact with their customers exactly where they are.

By being present in the same channels their customers regularly use, brands can make themselves more accessible and develop a new sales channel: an online chat shop.

With 73% of shoppers saying the customer experience is a deciding factor in the purchase process, conversational commerce is more than important – it’s crucial.


Customers can communicate with businesses via messaging platforms, chatbots, and virtual assistants 24/7. They can ask questions, purchase items, see personalized recommendations, or receive customer support when they want it – all within their preferred channel.


Thanks to AI and machine learning for Ecommerce, businesses can provide personalized recommendations based on customers’ preferences, user history, and individual needs. Individualized messages, promotions, and support help create an engaging online experience that increases customer retention.


With chatbots, virtual assistants, and messaging apps, businesses can offer shoppers immediate assistance. Chatbots are adept at executing routine requests like processing orders or answering FAQs, which saves customers time and reduces costs by up to 30%. Nearly 80% of inquiries can be answered by a chatbot.

By reducing the need for human interaction, conversational commerce benefits shoppers and retailers. It allows retailers to meet customer expectations and build stronger relationships efficiently and effectively.

Popular Channels for Conversational Commerce

Businesses can engage in conversations with customers using several different messaging channels, chat platforms, and conversational technologies. Here are the most common types.

Social Messaging Apps

The key to a successful conversational commerce experience is convenience. Social messaging apps are one of the most convenient ways for shoppers to interact with your store because they are already an essential part of our daily lives.

Image by storyset on Freepik

Customers can use apps like WhatsApp or Facebook Messenger to get automatic answers to their questions. They can also receive customer support, explore relevant product recommendations, and navigate the shopping process from search to completed transaction.

If an avid runner needs new shoes, they can open their preferred social messaging app on their phone, message a store, explore personalized recommendations, and purchase a new pair of shoes in minutes.

Alternatively, if an item isn’t delivered on time, customers can quickly learn why on their messaging app of choice.

Statista estimates that 60% of global E-commerce sales are already happening on mobile in 2023, generating almost 2,200 billion USD.

Messaging apps generally consist of a combination of chatbots and live human agents. Chatbots handle most inquiries and can pass a customer on to receive more personalized human assistance when required. This approach to social shopping cuts customer service costs and ensures shoppers receive the stellar customer support they need.


Chatbots leverage natural language processing to understand user intent and stimulate authentic human conversation in an instant. Advances in generative AI have made it possible for chatbots to understand complex requests, provide answers to user queries, offer 24/7 customer care, and guide users through the shopping journey.

There are two main types of chatbots. Rule-based chatbots follow a set of predetermined rules to respond to customer questions. AI-powered chatbots are more complex, leveraging machine learning algorithms to understand user intent and improve replies over time.

In addition to handling the majority of user requests, chatbots can generate significant Ecommerce revenue for businesses. By seamlessly highlighting relevant promotions, offering personalized product recommendations, and collecting user feedback, chatbots successfully drive sales.

Voice Assistants

Voice chats are a powerful way to improve customer interactions. Apple’s Siri, Amazon Alexa, and Google Assistant are the most popular voice search assistants on the market.

Image by storyset on Freepik

Like other conversational commerce tools, voice assistants help with product discovery, provide information, assist with purchases, and offer customer support.

By integrating voice assistants with additional technology like NLP or sentiment analysis, E-commerce brands can create advanced customer conversations.

Modern voice technology can determine a user’s mood by analyzing their tone of voice and returning responses accordingly.

Digital voice assistants help E-commerce websites further create convenient, personalized shopping experiences by making it easy for users to navigate the purchase journey without needing to type or research what they’re looking for.

Conversational commerce is all about keeping customers’ best interests in mind. As technology continues to evolve, new platforms and channels are sure to surface.

Conversational Commerce Use Cases

The conversational commerce landscape is rapidly growing, evolving, and opening up an entirely new avenue for sales.

Chatbots function as “chat shops,” where shoppers can conveniently navigate the shopping journey through conversation.

Let’s explore two most common, beneficial, and lucrative use cases for conversational commerce: product discovery and customer support.

Improving Product Discovery

Most conversational commerce platforms leverage NLP (natural language processing) to understand user intent. Therefore, shoppers can ask for the products they want however feels natural to them and instantly see relevant results.

By collecting and analyzing user behavior data and interactions, Ecommerce retailers can better understand what shoppers are looking for and effectively tailor a wide range of product recommendations to meet their needs.

Let’s explore how data-driven product recommendations can improve the shopping experience and drive sales.

Showcase Relevant Products

With chatbots or other conversational support offerings, shoppers can state their preferences and quickly explore relevant products for any query.

If a user wants to buy a pair of running shoes but is undecided on brand or style, they can simply tell the chatbot what they’re looking for, their size and color preferences, and explore the most relevant items.

Even more impressive is that chatbots understand colloquial language and detailed queries that could never fit in a search box.

If a shopper types, “Show me a laptop good for gaming that” then specifies “that are easy to carry in my backpack,” chatbots can immediately present the most relevant options.

In addition to helping shoppers feel understood by intuitively responding with relevant products, chatbots can shorten the path to purchase by presenting products shoppers are most likely looking for.


Upsell and Cross-Sell with Product Recommendations

Chatbots are a valuable tool for upselling and cross-selling.

If a shopper is looking for a laptop, chatbots can be programmed with Ecommerce merchandizing capabilities to recommend specific brands or popular models.

Additionally, if a shopper purchases a laptop, chatbots can recommend complementary or additional products like a computer mouse or earphones to round out their purchase.

Provide Product Information

Shoppers often need product information before making a purchase. Users may be interested in sizing information, pricing, discounts, product reviews, or return status. Chatbots streamline the search experience by providing responses instantly.

Keep in mind, just like with Ecommerce search result page design, the product information must be presented in clear and easy-to-understand ways that guide customers through the purchase journey.

Customer Support

In the digital age, shoppers expect to have their needs met immediately. If they don’t find the products or information they’re looking for, they’ll leave your store and head to a competing site.

Chatbots and virtual assistants can improve customer relationships with people by understanding their concerns and providing real-time customer feedback. Let’s look at a few ways chatbots can assist with customer support.

According to a research by Facebook, two-third of users would prefer using a chat app than calling customer service.

1st Line Customer Support

Chatbots understand customers’ questions and immediately respond with answers from your knowledge base. In addition to alleviating frustration and creating a quick user experience in your store, automating support with chatbots saves Ecommerce businesses money and resources because it prevents the need for human interaction.

Connect to Live Support Agents

While chatbots can effectively handle a large number of inquiries, AI-driven conversations are not capable of doing everything.

When online or mobile users need additional support, they can be seamlessly connected to live chat agents on the customer service team.

Having company representatives provide personalized support for necessary requests will help shoppers feel cared for and resolve their issues more efficiently.

Track Deliveries

Chat commerce enables shoppers to communicate in real-time, making it easy for them to inquire about the delivery status of their purchase and receive an immediate answer.

By providing instant notifications, updates, and instant answers to customer concerns, conversational commerce is a powerful way to meet customer demands, reduce frustration, and improve the tracking experience.

How Ecommerce Retailers are Using Conversational Commerce

More and more retailers are adopting conversational commerce in the E-Commerce space. Companies like H&M, Burberry, and American Eagle Outfitters offer chatbots to help their user base find products, offer styling advice, and provide special care on different platforms.

Retailers using conversational commerce illustration

While conversational commerce has been prevalent in the online retail industry, companies have only cracked the surface of what’s now possible with generative AI. Advances in technology have made it possible for online retailers to better understand customer support requests, provide more personalized interactions, improve customer engagement, and increase online sales.

Let’s take a closer look at some of these benefits.

Advantages of Conversational Commerce in Ecommerce

Conversational commerce benefits shoppers and online retailers by offering on-demand support without traditional overhead costs.

Businesses that utilize online messaging platforms, chatbots, and virtual assistants to interact with users improve the customer experience, drive sales, and create significant business impact.

Let’s take a look at a few key benefits.

Improved Customer Engagement

Conversational commerce enables businesses to interact with potential customers on demand. Providing personalized communication efforts to shoppers exactly when and where they want them can help businesses build trust and inspire loyalty.  Helpshift found that 83% of customers would contact a brand messaging service if the response there is immediate.

Chatbots can accurately respond to routine customer queries, suggest relevant products that shorten the path to purchase, and offer human-like correspondence that keeps users engaged, satisfied, and coming back for more.

Furthermore, chatbots can offer exclusive discounts and promotions. Targeting deals and offers to individual customers creates a sense of urgency, engages shoppers, and encourages them to purchase.

These interactive experiences help users seamlessly navigate the shopping journey from start to finish and inspire them to return for repeat purchases.

Higher Conversion Rates

By leveraging AI and machine learning algorithms, businesses can understand user intent and accurately provide shoppers with the products, information, and support they need to make confident purchases.

Offering data-based recommendations via conversational commerce effectively inspires catalog discovery, helps you hit key Ecommerce KPIs, and builds loyal customers.

If a shopper wants to buy a laptop on a budget, a virtual assistant can provide recommendations and answer questions about product specifications like size or hard drive space.

By ensuring easy conversation with customers and offering the information they need to make a confident purchase, Ecommerce businesses can achieve a rise in conversion rate, customer satisfaction, and online revenue.


Conversational commerce is conducted online, which reduces the need for overhead costs like physical storefronts and employees.

Conversational commerce leverages automation, enabling businesses to answer frequently asked questions and perform routine tasks without physical labor. Automating support and the sales process saves time and resources when handling orders or inquiries.

Additionally, chatbots and virtual assistants can handle high volumes of customer requests at once, making it easy for businesses to scale up or down depending on demand.

Personalized Experiences for Customers

Personalizing the shopping experience shows shoppers you understand them and can meet their needs.

Chatbots use data mining and machine learning to analyze patterns in user behavior and make tailored recommendations that align with their preferences.

Leveraging AI to predict what customers need is an effective way to help shoppers find what they’re looking for and help guide them through the purchase journey.

Chatbots can also send personalized messages and updates to customers. Welcome messages, order confirmations, and shipping updates via chatbots help shoppers stay up to date with previous purchases and engaged as they navigate your site.

As technology continues to evolve, chatbots are getting better at interacting with customers and understanding what they’re looking for. Nowadays, chatbots for Ecommerce fashion stores can ask shoppers about their style preferences, analyze thousands of products in a catalogue, and suggest clothing that aligns with their tastes.

Studies found that 80% of consumers were more likely to make purchases when getting personalized offers.

And it’s not just the E-commerce market. These advanced communication methods are transforming the hospitality industry, the banking industry, and so many more. 

Valuable User Behavior Data

Conversational commerce provides online retailers valuable insights into user behavior and preferences, which can improve personalization efforts, products, and other services.

Data can be collected in a variety of ways.

Machine learning algorithms collect and analyze user behavior data, which improves product recommendations and tailored customer service efforts.

Messaging platforms store chat logs of interactions between chatbots and customers, which offer insightful information about customer preferences, behavior, and common pain points.

Chatbots can be programmed to request feedback from users after an interaction. This information can help gauge customer satisfaction and address room for improvement for the chatbot.

Conversational commerce platforms track user demographics and shoppers’ purchase history, which is useful in offering data-driven recommendations and discounts.

By collecting data at all phases of the online shopping journey, Ecommerce businesses can identify room for improvement and make optimizations for increased customer satisfaction and sales.

Reduced Abandoned Carts

As the Ecommerce industry continues growing, so does the shopping cart abandonment rate. About 70% of online shoppers add products to their cart via autocomplete search or along the customer journey and leave the store without purchasing them. However, conversational commerce can help mitigate the problem.

If a shopper is on the verge of abandoning their cart, chatbots and virtual assistants can intervene.

Proactive customer engagement like reaching out to customers with carefully crafted messages can increase the chances of a customer completing their purchase.

Furthermore, AI-based conversational commerce chatbots enable shoppers to purchase their items directly in the conversation window. Streamlining the shopping journey to prevent shoppers visiting another page can help reduce the abandoned cart rate and keep businesses ahead of the curve.

5 Conversational Commerce Best Practices

While implementing conversational platforms into your Ecommerce strategy is crucial, it’s important to keep the following best practices in mind to maximize its potential.

1. Prioritize the Customer Experience

The goal of conversational commerce is to improve the customer experience. In addition to implementing site search best practices in your store, one of the most effective ways to prioritize customers is by creating convenient shopping experiences.

Make sure you put what customers need at their fingertips.

The best way to prioritize customers is by leveraging data like demographics, browsing behavior, and purchase history to inform targeted response algorithms and return relevant results.

Data-driven responses that improve over time to accurately address shoppers’ questions and help them explore relevant products will ensure your conversational commerce solution is convenient, engaging, and creating customer satisfaction.

2. Use a Conversational Approach

Simply integrating a chatbot into your online store and app messaging will not suffice. You must establish rules and guidelines for chatbot responses to create a consistent, reliable, and quality experience. The same applies to voice assistant interactions; communication must feel natural.

The best way to create authentic communication is to keep the customer in mind. Take advantage of key user touch points and offer personalized interactions throughout the most crucial stages of the purchasing journey. Carefully planning your conversational commerce strategy will help ensure you create an engaging experience with a personal touch.

A Forrester and Google joint research found that 68% of shoppers are more likely to buy from businesses that offer convenient communication ways.

3. Monitor, Test, and Refine Your Conversational Experience

AI-driven conversations are not a set-it-and-forget solution. You must consistently ensure your chatbots are responsive and effective. This will help you provide shoppers with the best possible experience.

To monitor performance, identify your specific goals and track the right metrics. A few insightful metrics are conversion rate, customer satisfaction ratings, and response time. These key metrics will help you identify room for improvement and make adjustments where necessary.

It’s also a good idea to test messaging strategies and tools to get an accurate idea of what keeps shoppers engaged and drives sales. Consistently monitor results and optimize your solution to get the most out of your conversational commerce efforts.

4. Provide Valuable and Relevant Information

Customers trust that information provided through conversational commerce channels is relevant and accurate. Therefore, all interactions, answers, and assistance must align with what shoppers want. If users ask for headphone recommendations and see suggestions for computer mice, they will likely grow frustrated, lose trust in your brand, and not return to your store.

Leverage user behavior data to provide relevant and accurate responses. When shoppers receive factual information that guides them seamlessly through the purchase process, this creates a positive impression of your store and inspires repeat business.

To ensure chatbots and virtual assistants return relevant results, track analytics and monitor performance data. This will show you what’s keeping shoppers engaged and where there’s room for improvement.

Furthermore, the conversational nature of chatbots makes it easy to ask for user feedback. Program your chatbot to ask users if their query was addressed properly with a simple thumbs-up or thumbs-down button. Directly asking for feedback will help you see if shoppers find their interactions valuable and relevant and help you discover room for improvement if necessary.

5. Maintain a Human Touch

While chatbot responses are automated, it is crucial that interactions feel authentic and personal. Even if shoppers ask general questions or perform routine actions, communication shouldn’t feel robotic or impersonal.

Create natural-feeling interactions by using a conversational tone. Refer to customers by name and incorporate personality and your brand identity into your messaging so your chatbot feels like a natural extension of your store.

Make sure your chatbots respond promptly, too. Answering inquiries in a timely matter will show you value customers’ time and help build trust.

Lastly, keep in mind that chatbots need an abundance of data to be most effective. When first implementing conversational chatbots into your conversational commerce strategy, it’s best to run a co-pilot scenario with a human that can review replies. Having humans monitor chatbot interactions during the learning phase will ensure replies accurately address users’ inquiries while feeling authentic and natural. 


Conversational commerce is a powerful tool that helps businesses improve the customer experience and drive sales. By providing personalized, accurate, and timely responses to customer requests, chatbots and other types of conversational commerce can keep shoppers engaged, inspire them to purchase more items, and create a positive impression of your brand.

The most prevalent forms of conversational commerce include chatbots, virtual assistants, voice assistants, and social media platforms. However, rapid advances in artificial intelligence will continue to make conversational commerce even more engaging and effective.

When implementing conversational commerce in your store, make sure to adhere to the best practices, consistently measure performance, and stay on top of growing trends to exceed your shoppers’ expectations and keep your Ecommerce store ahead of its competition.

For a comprehensive understanding of conversational commerce, check out our additional articles on this topic covering types of platforms, use cases and implementation strategies.

Paige TyrrellHead of Marketing – Prefixbox

Paige is the Head of Marketing at Prefixbox, a leading eCommerce site search solution. She’s an American who’s been living in Budapest since 2017 and loves giving #alwayslearning sessions to help people optimize their online stores.